Web Document Classification Method Based on Variable Precision Rough Set Model
基于变精度粗糙集模型的Web文档分类方法

After study on the variable precision rough sets model, this paper adopts variable precision rough sets model to classificate the Web documents.β is introduced, which allows to realize various classification levels of the Web documentsat according to the user’s demand through adusting β value. The experiment results show that this method can effectively increase the classification flexibility under classification accuracy premise.